GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-05T06:44:08Z,
for the dataset file:///shared/ciechanow_6c86b3df.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


  • ZAKŁAD KOMUNIKACJI MIEJSKIEJ W CIECHANOWIE SP. Z O.O.

Feed Info


Publisher Name:
unofficial Ciechanow gtfs, generated from T4B by lz
Feed Email:
N/A
Feed Language:
Polish
Feed Start Date:
2026-04-28
Feed End Date:
2026-05-11

Files included


  1. agency.txt
  2. calendar_dates.txt
  3. feed_info.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 15
  • Shapes: 123
  • Stops: 338
  • Trips: 4136

Specification Compliance report

59 notices reported (18 errors, 39 warnings, 2 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 18

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"70433018" "241" 17242 12.195 25 17241 12.195 24
"70433083" "241" 17823 12.195 25 17822 12.195 24
"70432606" "241" 16941 12.195 25 16940 12.195 24
"70435732" "241" 23501 12.195 25 23500 12.195 24
"70435797" "241" 24082 12.195 25 24081 12.195 24
"70434547" "241" 20855 12.195 25 20854 12.195 24
"70434152" "241" 19973 12.195 25 19972 12.195 24
"70434217" "241" 20554 12.195 25 20553 12.195 24
"70432541" "241" 16360 12.195 25 16359 12.195 24
"70433478" "241" 18705 12.195 25 18704 12.195 24
"70435337" "241" 22619 12.195 25 22618 12.195 24
"70434942" "241" 21737 12.195 25 21736 12.195 24
"70435402" "241" 23200 12.195 25 23199 12.195 24
"70435007" "241" 22318 12.195 25 22317 12.195 24
"70436364" "241" 25027 12.195 25 25026 12.195 24
"70434612" "241" 21436 12.195 25 21435 12.195 24
"70436429" "241" 25608 12.195 25 25607 12.195 24
"70433413" "241" 18124 12.195 25 18123 12.195 24
fast_travel_between_consecutive_stops WARNING 32

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
744 "70436057" "1" 190.44075988031176 0.5290021107786438 15536 1 "158" "Gruduska / Bukietowa" "10:15:10" 15537 2 "165" "Wojska Polskiego - Rondo" "10:15:20"
546 "70433847" "1" 190.44075988031176 0.5290021107786438 11594 1 "158" "Gruduska / Bukietowa" "10:15:10" 11595 2 "165" "Wojska Polskiego - Rondo" "10:15:20"
528 "70433612" "1" 190.44075988031176 0.5290021107786438 11262 1 "158" "Gruduska / Bukietowa" "10:15:10" 11263 2 "165" "Wojska Polskiego - Rondo" "10:15:20"
616 "70434459" "1" 190.44075988031176 0.5290021107786438 12995 1 "158" "Gruduska / Bukietowa" "16:05:10" 12996 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
778 "70436276" "1" 190.44075988031176 0.5290021107786438 16215 1 "158" "Gruduska / Bukietowa" "16:05:10" 16216 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
448 "70432453" "1" 190.44075988031176 0.5290021107786438 9656 1 "158" "Gruduska / Bukietowa" "16:05:10" 9657 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
724 "70435644" "1" 190.44075988031176 0.5290021107786438 15161 1 "158" "Gruduska / Bukietowa" "16:05:10" 15162 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
688 "70435249" "1" 190.44075988031176 0.5290021107786438 14439 1 "158" "Gruduska / Bukietowa" "16:05:10" 14440 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
652 "70434854" "1" 190.44075988031176 0.5290021107786438 13717 1 "158" "Gruduska / Bukietowa" "16:05:10" 13718 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
580 "70434064" "1" 190.44075988031176 0.5290021107786438 12273 1 "158" "Gruduska / Bukietowa" "16:05:10" 12274 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
520 "70433325" "1" 190.44075988031176 0.5290021107786438 11100 1 "158" "Gruduska / Bukietowa" "16:05:10" 11101 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
484 "70432930" "1" 190.44075988031176 0.5290021107786438 10378 1 "158" "Gruduska / Bukietowa" "16:05:10" 10379 2 "165" "Wojska Polskiego - Rondo" "16:05:20"
594 "70434424" "1" 190.44075988031176 0.5290021107786438 12571 1 "158" "Gruduska / Bukietowa" "08:27:10" 12572 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
756 "70436241" "1" 190.44075988031176 0.5290021107786438 15791 1 "158" "Gruduska / Bukietowa" "08:27:10" 15792 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
426 "70432418" "1" 190.44075988031176 0.5290021107786438 9232 1 "158" "Gruduska / Bukietowa" "08:27:10" 9233 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
702 "70435609" "1" 190.44075988031176 0.5290021107786438 14737 1 "158" "Gruduska / Bukietowa" "08:27:10" 14738 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
666 "70435214" "1" 190.44075988031176 0.5290021107786438 14015 1 "158" "Gruduska / Bukietowa" "08:27:10" 14016 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
630 "70434819" "1" 190.44075988031176 0.5290021107786438 13293 1 "158" "Gruduska / Bukietowa" "08:27:10" 13294 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
558 "70434029" "1" 190.44075988031176 0.5290021107786438 11849 1 "158" "Gruduska / Bukietowa" "08:27:10" 11850 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
498 "70433290" "1" 190.44075988031176 0.5290021107786438 10676 1 "158" "Gruduska / Bukietowa" "08:27:10" 10677 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
462 "70432895" "1" 190.44075988031176 0.5290021107786438 9954 1 "158" "Gruduska / Bukietowa" "08:27:10" 9955 2 "165" "Wojska Polskiego - Rondo" "08:27:20"
602 "70434432" "1" 190.44075988031176 0.5290021107786438 12732 1 "158" "Gruduska / Bukietowa" "12:27:10" 12733 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
764 "70436249" "1" 190.44075988031176 0.5290021107786438 15952 1 "158" "Gruduska / Bukietowa" "12:27:10" 15953 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
434 "70432426" "1" 190.44075988031176 0.5290021107786438 9393 1 "158" "Gruduska / Bukietowa" "12:27:10" 9394 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
710 "70435617" "1" 190.44075988031176 0.5290021107786438 14898 1 "158" "Gruduska / Bukietowa" "12:27:10" 14899 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
674 "70435222" "1" 190.44075988031176 0.5290021107786438 14176 1 "158" "Gruduska / Bukietowa" "12:27:10" 14177 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
638 "70434827" "1" 190.44075988031176 0.5290021107786438 13454 1 "158" "Gruduska / Bukietowa" "12:27:10" 13455 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
566 "70434037" "1" 190.44075988031176 0.5290021107786438 12010 1 "158" "Gruduska / Bukietowa" "12:27:10" 12011 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
506 "70433298" "1" 190.44075988031176 0.5290021107786438 10837 1 "158" "Gruduska / Bukietowa" "12:27:10" 10838 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
470 "70432903" "1" 190.44075988031176 0.5290021107786438 10115 1 "158" "Gruduska / Bukietowa" "12:27:10" 10116 2 "165" "Wojska Polskiego - Rondo" "12:27:20"
740 "70436033" "1" 190.44075988031176 0.5290021107786438 15460 1 "158" "Gruduska / Bukietowa" "15:43:10" 15461 2 "165" "Wojska Polskiego - Rondo" "15:43:20"
542 "70433823" "1" 190.44075988031176 0.5290021107786438 11518 1 "158" "Gruduska / Bukietowa" "15:43:10" 11519 2 "165" "Wojska Polskiego - Rondo" "15:43:20"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260505" "20260511" "20260512"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
mixed_case_recommended_field WARNING 2

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "PEC - pętla" 280
"agency.txt" "agency_name" "ZAKŁAD KOMUNIKACJI MIEJSKIEJ W CIECHANOWIE SP. Z O.O." 2
stop_too_far_from_shape_using_user_distance WARNING 1

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
4003 "13_0_m4z31aFE_iamjeI-erZdKQ==" "70432705" 87058 "84" "Pęchcin" [52.85474,20.540949999999995] 1356.72507737961
stops_match_shape_out_of_order WARNING 1

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
785 "2_4_aIFKxMjuy3RJgZEAzRjEDg==" "70432541" 16360 "241" "Rzeczki, pętla" [52.84141006352933,20.690431953215615] 16359 "240" "Rzeczki, pętla" [52.84141010100243,20.690433105329586]
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260505" "20260428" "20260511"
unknown_column INFO 2

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"trips.txt" "brigade" 6
"feed_info.txt" "feed_timezone" 3